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Taschenbuch. Condition: Neu. Neural Network-Based State Estimation of Nonlinear Systems | Application to Fault Detection and Isolation | Heidar A Talebi (u. a.) | Taschenbuch | xix | Englisch | 2009 | Springer New York | EAN 9781441914378 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Neural Network-Based State Estimation of Nonlinear Systems' presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.
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paperback. Condition: New. Paperback. Pub Date: 2019-11-01 Pages: 220 Language: Chinese Publisher: Science Press complex network system fault detection and state estimation research combined with the author over the years. systematically expounded the complex networked systems modeling. fault detection and state estimation theory and method. The main contents include: Introduction. random loss of network points .
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Published by SPRINGER NATURE Dez 2009, 2009
ISBN 10: 1441914374 ISBN 13: 9781441914378
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fault detection and state estimation are essential tasks for ensuring the reliability, safety and performance of automatic control systems. They play a critical role in detecting and isolating faults quickly and accurately, enabling timely corrective action and preventing system failures. The field of fault detection and state estimation has seen significant advances in recent years, driven by the integration of advanced methodologies with cutting-edge technologies, in particular artificial intelligence and deep learning. These techniques have demonstrated remarkable capabilities in fault diagnosis, state estimation and fault-tolerant control, especially in complex multi-sensor systems.This Special Issue highlights and discusses the design and application of fault detection algorithms, the design and application of state estimation methods, the design and application of machine learning algorithms, the analysis of automatic control system characteristics, and the design and application of intelligent control systems. Nevertheless, many challenges remain and require attention, including scalability, computational efficiency, online implementation, fault isolation, fault recovery and fault-tolerant control. Additional research efforts are therefore essential to advance both the theory and practice of this critical task.
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Buch. Condition: Neu. Fault Detection and State Estimation in Automatic Control | Buch | Englisch | 2023 | MDPI AG | EAN 9783036597560 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.